visbeat3's Introduction

visbeat3

This is a migration of visbeat from Python2 to Python3. Head over to an example notebook on Colab!

This work presents a visual analogue for musical rhythm derived from an analysis of motion in video, and shows that alignment of visual rhythm with its musical counterpart results in the appearance of dance. You can visit the official project page and demos for more infos.

Install

$ pip3 install visbeat3

Usage

import os
import time

import matplotlib
import matplotlib.pyplot as plt

import numpy as np
import visbeat3 as vb

source_video = vb.PullVideo(name='video', source_location='./data/01.mp4')

# You can also directly specify an audio
# source_audio = vb.Audio('./data/all star.mp3')
source_audio = vb.PullVideo(name='audio', source_location='./data/02.mp4')

synch_video_beat = 0
synch_audio_beat = 0
nbeats = 32

output_path = './result.mp4'

# If source_audio is from an audio file, use target=source_audio 
warped = vb.Dancify(source_video=source_video, 
                    target=source_audio.getAudio(), 
                    synch_video_beat=synch_video_beat,
                    synch_audio_beat=synch_audio_beat, 
                    force_recompute=True, 
                    warp_type='quad',
                    nbeats=nbeats, 
                    output_path=output_path)

Used By

video-bgm-generation: video background music generation.

Reference

@inproceedings{davis2018visual,
  title={Visual rhythm and beat},
  author={Davis, Abe and Agrawala, Maneesh},
  booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  pages={2532--2535},
  year={2018}
}

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